Hate Speech Detection: Recent Advancements and Emerging Technologies

Hate speech is a developing subject of research due to its effects on people and the community on the Internet. This paper reviews discrimination analysis research, emphasizing recent developments and new technologies. Hate speech analysis uses several approaches, methods, data, and metrics. It also analyzes problems regarding technology use. The rise of digital the channels that quickly circulate information that damages society made hate speech research studies important. Discrimination research advances and new technologies are examined in this literature. The research covers NLP, machine learning, and social sciences. This review covers discrimination research methods, datasets, measurements, and problems. The paper discusses speech discrimination using advanced deep learning techniques including RNNs, CNNs, and transformers. The investigation addresses discrimination tool ethics, biases, and limitations. It impacts future research and Internet hate speech for prevention purposes.